Climate change is accelerating, and individuals often struggle to understand and reduce their daily carbon footprint.
Current carbon calculators are either too simplistic or lack actionable insights, personalization, and predictive features. Users have no way to see the real-world impact of lifestyle changes or track their progress over time.
EcoTrack AI is an interactive, all-in-one carbon footprint tracker that empowers users to measure, visualize, and reduce their environmental impact.
The app integrates real-time calculations, AI-driven recommendations, what-if simulations, forecasting, and gamification to motivate eco-friendly behavior.
By providing personalized insights and predictive forecasts, users can see the immediate and long-term effects of their choices.
- Real-time Carbon Footprint Calculation
- Transport, electricity, and food emissions
- Breakdown by category
- AI Recommendations
- Personalized tips based on top emission sources
- Smart lifestyle suggestions
- What-If Simulator
- Test “What if” scenarios like taking the bus, reducing meat consumption, or cutting electricity usage
- See CO₂ saved in real-time
- Forecasting & Future Awareness
- Predict monthly emissions based on current trends
- Compare current behavior vs. reduction plan
- Sustainability Score & Gamification
- EcoScore (0–100) and badges: Eco Beginner, Green Champion, Climate Hero
- History & Progress Tracking
- Daily footprint storage
- Weekly/monthly improvement analysis
- Impact Statement
- Shows collective potential CO₂ savings if multiple users reduce emissions
- Clean, Hackathon-Ready UI
- Light-gray/white theme
- Interactive charts and metric cards
- Uses AI-driven recommendations to highlight the biggest emission sources
- Suggests personalized actions based on user behavior and habits
- Integrates AI with What-If simulations to predict how lifestyle changes can reduce emissions
- Goes beyond static calculators by combining prediction, personalization, and behavior-based insights
- Frontend & Dashboard: Streamlit
- Data Handling: Pandas, SQLite
- Charts & Visualization: Plotly
- AI & Recommendations: Python logic + heuristics (can be extended to ML-based recommendations)
- Image Handling: PIL
- Version Control: Git
- Deployment: Local / Cloud (Streamlit Cloud or similar)
- ML-driven prediction models to forecast emissions based on historical data
- Diet optimization AI for sustainable meal planning
- Integration with IoT devices for live electricity or transport tracking
- Community features: compare footprints with friends or groups
- Carbon credits or rewards system for gamification
- Mobile app version for on-the-go tracking
EcoTrack AI turns awareness into action, helping individuals reduce their carbon footprint and make a tangible environmental impact. 🌍